Diese Seite ist nur auf Englisch verfügbar.
Computer Science Theory I - Overview
Lecturer: Prof. Dr. Jan-Georg Smaus
Exercises: Dr. Alexander Schimpf and Ahmed Mahdi
Time and Location
Lecture: Tuesday 16:15-18:00 and Wednesday 16:15-17:00, SR 01-009/13, building 101.
Exercises: Wednesday 17:15-18:00, SR 01-009/13, building 101.
Language
The lecture will be given in English.
Contents
Central topics of this lecture include:
- Introduction to algorithm design and analysis
- Introduction to complexity theory
- Introduction to database algorithms
The goal of this course is to improve your knowledge on data structures and algorithms, as well as database systems. To achieve this goal, some basic knowledge of standard data structures and algorithms are required. Mathematical tools and methods, usually taught in the first two years of a bachelor program in computer science, are frequently used in this lecture.
Credit Points
The course is worth six (ECTS) credit points.
In order to obtain credit points, participants are required to pass a written exam at the end of the semester.
In order to be admitted to the exam, students must participate actively in the course and exercises. Concretely, a student must obtain 50% of the total points in the exercises.
It is not allowed to use any notes in the exam.
Exam Date and Location
31st August, 2011, 14:00-15:30, Kinohörsaal.
Curriculum
Master of Science (Applied Computer Science)
Acknowledgements
This lecture is based on materials developed by Prof. Dr. R. Elsässer, Prof. Dr. Th. Ottman, Prof. Dr. P. Thiemann and Prof. Dr. G. Lausen. Wolfgang Paulat has provided substantial assistance in the production of the slides.